Evidence map›Paper›PMID 33680377›Full record

ArticleCaspian journal of internal medicine2020

Subgrouping of Iranian children and adolescents based on cardiometabolic risk factors using latent class analysis: The CASPIAN-V study.

Abbas Abbasi-Ghahramanloo, Ramin Heshmat, Amir-Masood Rafiemanzelat, Kimia Ghaderi, Mohammad Esmaeil Motlagh, Zeinab Ahadi, Gita Shafiee, Armita Mahdavi-Gorabi, Mostafa Qorbani, Roya Kelishadi

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Article in Caspian journal of internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Cardio-metabolic risk among healthcare providers: A latent profile study.Journal of cardiovascular and thoracic research · 2025
    Article
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Abbas Abbasi-GhahramanlooDepartment of Public Health, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Ramin HeshmatChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Amir-Masood RafiemanzelatSchool of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Kimia GhaderiSchool of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad Esmaeil MotlaghDepartment of Pediatrics, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Zeinab AhadiChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Gita ShafieeChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Armita Mahdavi-GorabiDepartment of Basic and Clinical Research, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Mostafa QorbaniNon-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Roya KelishadiChild Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiometabolic syndrome indicates the clustering of several risk factors. The aims of this study were to identify the subgroups of the Iranian children and adolescents on the basis of the components of the cardio-metabolic syndrome and assess the role of demographic characteristics, socioeconomic status and lifestyle-related behaviors on the membership of participants in each latent class.

methodsThis cross-sectional study was performed on 3730 Iranian students in 2015 using stratified cluster. All students in each class completed anonymous and structured questionnaires. Abdominal obesity, high triglyceride (TG), low high-density lipoprotein (HDL), high blood pressure (BP), high fasting blood sugar (FBS), high low-density lipoprotein (LDL), high cholesterol and obesity were used for assessing the pattern of cardio metabolic risk as a latent variable. Data analysis was performed using PROC LCA in SAS software.

resultsFour latent classes were identified in this study; namely 1) healthy (59.6%), 2) low risk (20.4%), 3) moderate risk (13.7%) and 4) high risk (6.4%). Being a female (OR=0.59, 95% CI: 0.46-0.74), living in a rural area (OR=0.45, 95% CI;0.33-0.60), high screen time (OR=1.56, 95% CI:1.09-2.24), and parental obesity (OR=1.52, 95% CI: 1.18-1.95) were associated with moderate risk class. Only living in rural areas (OR=0.71, 95% CI; 0.51-0.99) was associated with high risk class.

conclusionAbout 20% of the students are in the moderate risk and high risk classes. Design and implement interventions according to risk-based class that seem necessary by considering probably risk and protective factors for the prevention of complications of cardiometabolic syndrome.

Indexed as

CardiometabolicChildren and adolescentsIranLatent class analysisMetabolic syndrome

Identifiers

PMID33680377
PMCPMC7911770

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